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Live gold (USD / troy oz) via yfinance, aligned with api_key_test.py (GC=F).
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import List, Optional, Tuple
@dataclass
class GoldPriceQuote:
usd_per_oz: float
source: str
def os_gold_symbol() -> str:
import os
return (os.environ.get("SHOPMANAGER_GOLD_SYMBOL", "GC=F") or "GC=F").strip()
def _fetch_yfinance_gold() -> Tuple[float, str, List[float]]:
import yfinance as yf
sym = (os_gold_symbol() or "GC=F").strip() or "GC=F"
ticker = yf.Ticker(sym)
hist = ticker.history(period="60d", interval="1d")
if hist is None or hist.empty:
raise ValueError("No price history for gold symbol")
closes = hist["Close"].dropna().astype(float).tolist()
if not closes:
raise ValueError("Empty close series for gold")
return float(closes[-1]), f"yfinance:{sym}", [float(c) for c in closes[-30:]]
def fetch_gold_spot_usd_per_oz() -> GoldPriceQuote:
usd, src, _ = _fetch_yfinance_gold()
if usd <= 0:
raise ValueError("Invalid non-positive gold price")
return GoldPriceQuote(usd_per_oz=usd, source=src)
def recent_close_history(max_points: int = 30) -> List[float]:
try:
_, _, hist = _fetch_yfinance_gold()
except Exception:
return []
if max_points and len(hist) > max_points:
return hist[-max_points:]
return list(hist)
def last_quote_or_fallback(fallback: float) -> GoldPriceQuote:
try:
return fetch_gold_spot_usd_per_oz()
except Exception:
return GoldPriceQuote(usd_per_oz=fallback, source="fallback")
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